@inproceedings{3d462f5d362947b3a249d92e49391a37,
title = "Control of chaotic systems using fuzzy model-based regulators",
abstract = "This paper presents a new approach to controlling chaotic systems using fuzzy regulators. The relaxed stability conditions and LMI (Linear Matrix Inequalities) based designs for a fuzzy regulator are used to construct a fuzzy attractive domain, in which a global solution is obtained so as to achieve the desired stability condition of the closed-loop system. In the control of chaotic systems, we use two-phases of control, first phase uses an open-loop control with inherent chaotic features of the system itself and a fuzzy model-based controller is employed under state feedback control in the second phase of control. The Henon map is employed to illustrate the above design procedure.",
keywords = "Chaotic systems, Evolutionary computation, Fuzzy model-based control, Lyapunov function, Nonlinear dynamics, System stability",
author = "Keigo Watanabe and Lanka Udawatta and Kazuo Kiguchi and Kiyotaka Izumi",
year = "1999",
doi = "10.1007/978-3-540-48061-7_30",
language = "English",
isbn = "3540666451",
volume = "1711",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "248--256",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999 ; Conference date: 09-11-1999 Through 11-11-1999",
}